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Cross-Spectral Dense Correspondence for Multimodal Spectral Medical Imaging

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

Precise dense correspondence is a fundamental prerequisite for multimodal spectral imaging systems that fuse disparate wavelength ranges for subsequent analysis in medical and scientific imaging. Corresponding image points are often observed with non-overlapping spectral sensitivities, leading to wavelength-dependent contrast changes, intensity inversions, and appearance shifts for which dense ground truth is difficult to obtain and conventional RGB-based training data provides only limited supervision. We address this data gap by introducing a sensor-agnostic cross-spectral modulation protoco

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First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.